The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Gamma frequency entrainment attenuates amyloid load and modifies microglia
Open accessAbstract
Changes in gamma oscillations (20-50 Hz) have been observed in several neurological disorders. However, the relationship between gamma oscillations and cellular pathologies is unclear. Here we show reduced, behaviourally driven gamma oscillations before the onset of plaque formation or cognitive decline in a mouse model of Alzheimer's disease. Optogenetically driving fast-spiking parvalbumin-positive (FS-PV)-interneurons at gamma (40 Hz), but not other frequencies, reduces levels of amyloid-β (Aβ)1-40 and Aβ 1-42 isoforms. Gene expression profiling revealed induction of genes associated with morphological transformation of microglia, and histological analysis confirmed increased microglia co-localization with Aβ. Subsequently, we designed a non-invasive 40 Hz light-flickering regime that reduced Aβ 1-40 and Aβ 1-42 levels in the visual cortex of pre-depositing mice and mitigated plaque load in aged, depositing mice. Our findings uncover a previously unappreciated function of gamma rhythms in recruiting both neuronal and glial responses to attenuate Alzheimer's-disease-associated pathology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“By genetically engineering these proteins into target neurons and controlling the light around them, these neurons can be activated or inhibited, which is particularly important for sensory and motor recovery and rehabilitation.[555]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [555]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Optogenetic stimulation is based on opsins that are sensitive to light signals and only expressed in certain types of cells.”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [555]
The cited source says what the claim attributes to it.
In the citing paper
“Indeed, gamma frequency modulation was beneficial in models with amyloid and/or tau pathology54.”
From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [54]
The cited source says what the claim attributes to it.
In the citing paper
“Indeed, gamma frequency modulation was found to be beneficial in models with either amyloid and/or tau pathology52”
From APOE3 - R136S mutation confers resilience against tau pathology via cGAS-STING-IFN inhibition (2024) · cites this paper as [52]
The cited source says what the claim attributes to it.
In the citing paper
“our sample sizes are similar to those reported in previous publications.15,24,86”
From TERT activation targets DNA methylation and multiple aging hallmarks (2024) · cites this paper as [86]
In the citing paper
“Interestingly, entraining gamma oscillation at 40 Hz in 5xFAD mice induced amyloid reductions that were associated with an increase in microglial numbers and morphological changes such as soma enlargement and shortening of processes loaded with Aβ.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“Interestingly, entraining gamma oscillation at 40 Hz in 5xFAD mice induced amyloid reductions that were associated with an increase in microglial numbers and morphological changes such as soma enlargement and shortening of processes loaded with Aβ.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“Gamma oscillations arise from the activation of local circuits of excitatory and fast-spiking inhibitory neurons resonating at 20-50 Hz, and changes in gamma oscillation have been observed in neurological diseases (158).”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“Gamma oscillations arise from the activation of local circuits of excitatory and fast-spiking inhibitory neurons resonating at 20-50 Hz, and changes in gamma oscillation have been observed in neurological diseases (158).”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“Interestingly, entraining gamma oscillation at 40 Hz in 5xFAD mice induced amyloid reductions that were associated with an increase in microglial numbers and morphological changes such as soma enlargement and shortening of processes loaded with Aβ.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“Notably, levels of proinflammatory genes (Il1b, Il6, Cd11b) and antiinflammatory genes (Igf1) were not changed (158), suggesting that it is possible to use immunomodulation to polarize microglia toward a beneficial activation state that is characterized by increased phagocytic activity without the induction of sustained inflammatory responses.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“Notably, levels of proinflammatory genes (Il1b, Il6, Cd11b) and antiinflammatory genes (Igf1) were not changed (158), suggesting that it is possible to use immunomodulation to polarize microglia toward a beneficial activation state that is characterized by increased phagocytic activity without the induction of sustained inflammatory responses.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“RNA sequencing analysis showed an increase in phagocytic genes, such as Cd68, β 2 -microglobulin (B2m), Icam, and lysozyme 2 (Lyz2), and in the proliferation markers Csf1, Csf1r, and Csf2ra.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“RNA sequencing analysis showed an increase in phagocytic genes, such as Cd68, β 2 -microglobulin (B2m), Icam, and lysozyme 2 (Lyz2), and in the proliferation markers Csf1, Csf1r, and Csf2ra.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In the citing paper
“In mice, slow gamma frequency visual or audio input entrains neural firing to this frequency in the cortex and hippocampus and reduces Aβ pathology and microglial abnormalities [204, 205].”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [204]
In the citing paper
“Transgenic mice with AD-like pathology were found to have reduced gamma power that, in one model, precedes cognitive impairment and amyloid plaque formation [21,22].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [21]
In the citing paper
“Interestingly, amyloid plaques were reduced when hippocampal PV-INs artificially produced gamma oscillations in optogenetics paradigms [21].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [21]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O'Keeffe, S., Phatnani, H. P., Guarnieri, P., Caneda, C., Ruderisch, N., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1860-14.2014 · Cited by 4,875 · cited 1×
“To understand the cellular and molecular mechanisms from our RNA-seq data, 14 of publicly available RNA-seq datasets 35 were processed for cell-type-specific analysis.”
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Host microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530
Theta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603
Self-citationCoherent oscillations: A mechanism of feature linking in the visual cortex?
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,329
Synapse Loss and Microglial Activation Precede Tangles in a P301S Tauopathy Mouse Model
Yoshiyama, Y., Higuchi, M., Zhang, B., Huang, S.-M., Iwata, N., Saido, T. C., Maeda, J., Suhara, T., Trojanowski, J. Q., & Lee, V. M.-Y. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.010 · Cited by 2,208
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070
Flagged first, then by citations
Cited by
Sorted by citations
Microglia emerge as central players in brain disease
Salter, M. W., & Stevens, B. (2017) · Nature Medicine · doi:10.1038/nm.4397 · Cited by 1,767
Fang, E. F., Hou, Y., Palikaras, K., Adriaanse, B. A., Kerr, J. S., Yang, B., Lautrup, S., Hasan-Olive, M. M., Caponio, D., Dan, X., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0332-9 · Cited by 1,740
Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets
Gao, C., Jiang, J., Tan, Y., & Chen, S. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01588-0 · Cited by 1,616
Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep
Fultz, N. E., Bonmassar, G., Setsompop, K., Stickgold, R. A., Rosen, B. R., Polimeni, J. R., & Lewis, L. D. (2019) · Science · doi:10.1126/science.aax5440 · Cited by 1,197
Lin, Y.-T., Seo, J., Gao, F., Feldman, H. M., Wen, H.-L., Penney, J., Cam, H. P., Gjoneska, E., Raja, W. K., Cheng, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.008 · Cited by 1,125
Self-citationCurrent understanding of Alzheimer’s disease diagnosis and treatment
Weller, J., & Budson, A. (2018) · F1000Research · doi:10.12688/f1000research.14506.1 · Cited by 1,083
Microglia in Alzheimer's disease
Sarlus, H., & Heneka, M. T. (2017) · Journal of Clinical Investigation · doi:10.1172/jci90606 · Cited by 911
Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognition
Martorell, A. J., Paulson, A. L., Suk, H.-J., Abdurrob, F., Drummond, G. T., Guan, W., Young, J. Z., Kim, D. N.-W., Kritskiy, O., Barker, S. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.014 · Cited by 798
Self-citationTemporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution
Mathys, H., Adaikkan, C., Gao, F., Young, J. Z., Manet, E., Hemberg, M., De Jager, P. L., Ransohoff, R. M., Regev, A., & Tsai, L.-H. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.039 · Cited by 740
Self-citationMultifunctional materials for implantable and wearable photonic healthcare devices
Lee, G., Moon, H., Kim, H., Lee, G. H., Kwon, W., Yoo, S., Myung, D. J., Yun, S. H., Bao, Z., & Hahn, S. K. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0167-3 · Cited by 683
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609
Johnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00999-y · Cited by 561
Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing
Boland, B., Yu, W. H., Corti, O., Mollereau, B., Henriques, A., Bézard, E., Pastores, G., Rubinsztein, D. C., Nixon, R. A., Duchen, M. R., et al. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.109 · Cited by 561
Brain Photobiomodulation Therapy: a Narrative Review
Salehpour, F., Mahmoudi, J., Kamari, F., Sadigh‐Eteghad, S., Rasta, S. H., & Hamblin, M. R. (2018) · Molecular Neurobiology · doi:10.1007/s12035-017-0852-4 · Cited by 547
Microglia and Astrocytes in Alzheimer's Disease: Implications for Therapy
Fakhoury, M. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170720095240 · Cited by 499
The Glymphatic System: A Novel Component of Fundamental Neurobiology
Hablitz, L. M., & Nedergaard, M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0619-21.2021 · Cited by 503
Converging pathways in neurodegeneration, from genetics to mechanisms
Gan, L., Cookson, M. R., Petrucelli, L., & Spada, A. R. L. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0237-7 · Cited by 495
Modeling Alzheimer’s disease with iPSC-derived brain cells
Penney, J., Ralvenius, W. T., & Tsai, L.-H. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0468-3 · Cited by 471
Self-citationGamma Entrainment Binds Higher-Order Brain Regions and Offers Neuroprotection
Adaikkan, C., Middleton, S. J., Marco, A., Pao, P., Mathys, H., Kim, D. N.-W., Gao, F., Young, J. Z., Suk, H., Boyden, E. S., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.011 · Cited by 483
Self-citationAlzheimer’s disease: insights into pathology, molecular mechanisms, and therapy
Zheng, Q., & Wang, X. (2024) · Protein & Cell · doi:10.1093/procel/pwae026 · Cited by 483
Practical considerations for choosing a mouse model of Alzheimer’s disease
Jankowsky, J. L., & Zheng, H. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0231-7 · Cited by 449
The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation
Joo, H. R., & Frank, L. M. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0077-1 · Cited by 430
Multisensory gamma stimulation promotes glymphatic clearance of amyloid
Murdock, M. H., Yang, C.-Y., Sun, N., Pao, P.-C., Blanco-Duque, C., Kahn, M. C., Kim, T., Lavoie, N. S., Victor, M. B., Islam, M. R., et al. (2024) · Nature · doi:10.1038/s41586-024-07132-6 · Cited by 379
Self-citationBenayoun, B. A., Pollina, E. A., Singh, P. P., Mahmoudi, S., Harel, I., Casey, K. M., Dulken, B. W., Kundaje, A., & Brunet, A. (2019) · Genome Research · doi:10.1101/gr.240093.118 · Cited by 360
New Insights Into the Pathogenesis of Alzheimer's Disease
Fan, L., Mao, C., Hu, X., Zhang, S., Yang, Z., Hu, Z., Sun, H., Fan, Y., Dong, Y., Yang, J., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2019.01312 · Cited by 362
Xie, C., Zhuang, X., Niu, Z., Ai, R., Lautrup, S., Zheng, S., Jiang, Y., Han, R., Gupta, T. S., Cao, S., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00819-5 · Cited by 349
Cerebral blood flow decrease as an early pathological mechanism in Alzheimer's disease
Korte, N., Nortley, R., & Attwell, D. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02215-w · Cited by 365
Sensory lesioning induces microglial synapse elimination via ADAM10 and fractalkine signaling
Gunner, G., Cheadle, L., Johnson, K. M., Ayata, P., Badimon, A., Mondo, E., Nagy, M. A., Liu, L., Bemiller, S. M., Kim, K.-W., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0419-y · Cited by 318
The identity and function of microglia in neurodegeneration
Song, W. M., & Colonna, M. (2018) · Nature Immunology · doi:10.1038/s41590-018-0212-1 · Cited by 308
Challenges and hopes for Alzheimer’s disease
Tatulian, S. A. (2022) · Drug Discovery Today · doi:10.1016/j.drudis.2022.01.016 · Cited by 291
Advances in developing novel therapeutic strategies for Alzheimer’s disease
Cao, J., Hou, J., Ping, J., & Cai, D. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0299-8 · Cited by 283
Babiloni, C., Blinowska, K. J., Bonanni, L., Cichocki, A. S., de Haan, W., Percio, C. D., Dubois, B., Escudero, J., Fernández, A., Frisoni, G. B., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.008 · Cited by 295
Clearance of cerebral Aβ in Alzheimer’s disease: reassessing the role of microglia and monocytes
Zuroff, L. R., Daley, D. A., Black, K. L., & Koronyo‐Hamaoui, M. (2017) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2463-7 · Cited by 287
Neurocognitive Function after Cardiac Surgery
Berger, M., Terrando, N., Smith, S. K., Browndyke, J. N., Newman, M. F., & Mathew, J. P. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002194 · Cited by 270
Tau: Enabler of diverse brain disorders and target of rapidly evolving therapeutic strategies
Chang, C.-W., Shao, E., & Mucke, L. (2021) · Science · doi:10.1126/science.abb8255 · Cited by 263
Precuneus magnetic stimulation for Alzheimer’s disease: a randomized, sham-controlled trial
Koch, G., Casula, E. P., Bonnı̀, S., Borghi, I., Assogna, M., Minei, M., Pellicciari, M. C., Motta, C., D’Acunto, A., Porrazzini, F., et al. (2022) · Brain · doi:10.1093/brain/awac285 · Cited by 277
Wischnewski, M., Alekseichuk, I., & Opitz, A. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.013 · Cited by 252
Gamma oscillations in cognitive disorders
Mably, A. J., & Colgin, L. L. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.07.009 · Cited by 244
Optogenetic gamma stimulation rescues memory impairments in an Alzheimer’s disease mouse model
Etter, G., van der Veldt, S., Manseau, F., Zarrinkoub, I., Trillaud-Doppia, É., & Williams, S. (2019) · Nature Communications · doi:10.1038/s41467-019-13260-9 · Cited by 248
Modulating Human Memory via Entrainment of Brain Oscillations
Hanslmayr, S., Axmacher, N., & Inman, C. S. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.04.004 · Cited by 264
Gamma Entrainment: Impact on Neurocircuits, Glia, and Therapeutic Opportunities
Adaikkan, C., & Tsai, L. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.11.001 · Cited by 241
Self-citationBi, D., Wen, L., Wu, Z., & Shen, Y. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12088 · Cited by 232
Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse
Frère, S. G. A., & Slutsky, I. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.028 · Cited by 242
Chan, D., Suk, H., Jackson, B., Milman, N., Stark, D., Klerman, E. B., Kitchener, E. G., Avalos, V. S. F., de Weck, G., Banerjee, A., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0278412 · Cited by 229
Self-citationCone, A. S., Yuan, X., Sun, L. J., Duke, L. C., Vreones, M. P., Carrier, A. N., Kenyon, S. M., Carver, S. R., Cushing, S. D., Stimmell, A. C., et al. (2021) · Theranostics · doi:10.7150/thno.62069 · Cited by 227
Neuronal dynamics direct cerebrospinal fluid perfusion and brain clearance
Jiang-Xie, L.-F., Drieu, A., Bhasiin, K., Quintero, D., Smirnov, I., & Kipnis, J. (2024) · Nature · doi:10.1038/s41586-024-07108-6 · Cited by 220
Hijazi, S., Heistek, T. S., Scheltens, P., Neumann, U., Shimshek, D. R., Mansvelder, H. D., Smit, A. B., & van Kesteren, R. E. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0483-4 · Cited by 216
What Happens with the Circuit in Alzheimer's Disease in Mice and Humans?
Zott, B., Busche, M. A., Sperling, R. A., & Konnerth, A. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061725 · Cited by 221
EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer’s Disease
Musaeus, C. S., Engedal, K., Høgh, P., Jelić, V., Mørup, M., Naik, M., Oeksengaard, A., Snædal, J., Wahlund, L., Waldemar, G., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180300 · Cited by 215
GABAergic Inhibitory Interneuron Deficits in Alzheimer’s Disease: Implications for Treatment
Xu, Y., Zhao, M., Han, Y., & Zhang, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00660 · Cited by 203
Meftah, S., & Gan, J. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2023.1129036 · Cited by 205
Parvalbumin interneuron vulnerability and brain disorders
Ruden, J. B., Dugan, L. L., & Konradi, C. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0778-9 · Cited by 194
Glutamate and GABA in Microglia-Neuron Cross-Talk in Alzheimer’s Disease
Czapski, G. A., & Strosznajder, J. B. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111677 · Cited by 198
Microglia regulate synaptic development and plasticity
Andoh, M., & Koyama, R. (2021) · Developmental Neurobiology · doi:10.1002/dneu.22814 · Cited by 194
Ye, X., Zhu, M., Che, X., Wang, H., Liang, X., Wu, C., Xue, X., & Yang, J. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1644-8 · Cited by 189
Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease
Najm, R., Jones, E. A., & Huang, Y. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0324-6 · Cited by 183
Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology
Hampel, H. J., (APMI), F. T. A. P. M. I., Toschi, N., Babiloni, C., Baldacci, F., Black, K. L., Bokde, A. L. W., Bun, R. S., Cacciola, F., Cavedo, E., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179932 · Cited by 184
Microglia as hackers of the matrix: sculpting synapses and the extracellular space
Crapser, J. D., Arreola, M. A., Tsourmas, K. I., & Green, K. N. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-021-00751-3 · Cited by 178
Benussi, A., Cantoni, V., Cotelli, M. S., Cotelli, M., Brattini, C., Datta, A., Thomas, C., Santarnecchi, E., Pascual‐Leone, Á., & Borroni, B. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.03.007 · Cited by 177
Neural oscillations and brain stimulation in Alzheimer’s disease
Jafari, Z., Kolb, B. E., & Mohajerani, M. H. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101878 · Cited by 192
The GABAergic system as a therapeutic target for Alzheimer's disease
Guzmán, B. C., Vinnakota, C., Govindpani, K., Waldvogel, H. J., Faull, R. L. M., & Kwakowsky, A. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14345 · Cited by 172
The Theta Rhythm of the Hippocampus: From Neuronal and Circuit Mechanisms to Behavior
Núñez, Á., & Buño, W. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.649262 · Cited by 182
Benussi, A., Cantoni, V., Grassi, M., Bréchet, L., Michel, C. M., Datta, A., Thomas, C., Gazzina, S., Cotelli, M. S., Bianchi, M., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26411 · Cited by 173
Disrupted Place Cell Remapping and Impaired Grid Cells in a Knockin Model of Alzheimer's Disease
Jun, H., Bramian, A., Soma, S., Saito, T., Saido, T. C., & Igarashi, K. M. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.023 · Cited by 170
The role of gamma oscillations in central nervous system diseases: Mechanism and treatment
Guan, A., Wang, S., Huang, A., Qiu, C., Li, Y., Li, X., Jinfei, W., Wang, Q., & Deng, B. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.962957 · Cited by 178
Zomorrodi, R., Loheswaran, G., Pushparaj, A. P., & Lim, L. (2019) · Scientific Reports · doi:10.1038/s41598-019-42693-x · Cited by 163
Harris, S. S., Wolf, F., De Strooper, B., & Busche, M. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.005 · Cited by 161
Jeon, Y., Choi, H., Lim, M., Choi, S., Kim, H., Kwon, J. H., Park, K., & Choi, K. C. (2018) · Advanced Materials Technologies · doi:10.1002/admt.201700391 · Cited by 157
Chao, L. L. (2019) · Photobiomodulation Photomedicine and Laser Surgery · doi:10.1089/photob.2018.4555 · Cited by 155
Gong, X., Mendoza-Halliday, D., Ting, J. T., Kaiser, T., Sun, X., Bastos, A. M., Wimmer, R. D., Guo, B., Chen, Q., Zhou, Y., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.032 · Cited by 152
Self-citationMicroglial Gi-dependent dynamics regulate brain network hyperexcitability
Merlini, M., Rafalski, V. A., Ma, K., Keun-young Kim, A., Bushong, E. A., Coronado, P. E. R., Yan, Z., Mendiola, A. S., Sözmen, E. G., Ryu, J. K., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00756-7 · Cited by 153
Drew, P. J., Matéo, C., Turner, K. L., Yu, X., & Kleinfeld, D. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.020 · Cited by 151
Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer’s disease
Hijazi, S., Smit, A. B., & van Kesteren, R. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02168-y · Cited by 157
Emerging Biomedical Applications of Organic Light‐Emitting Diodes
Murawski, C., & Gather, M. C. (2021) · Advanced Optical Materials · doi:10.1002/adom.202100269 · Cited by 144
Functions and dysfunctions of neocortical inhibitory neuron subtypes
Hattori, R., Kuchibhotla, K. V., Froemke, R. C., & Komiyama, T. (2017) · Nature Neuroscience · doi:10.1038/nn.4619 · Cited by 149
Closed-loop all-optical interrogation of neural circuits in vivo
Zhang, Z., Russell, L. E., Packer, A. M., Gauld, O. M., & Häusser, M. (2018) · Nature Methods · doi:10.1038/s41592-018-0183-z · Cited by 147
Venturino, A., Schulz, R., De Jesús-Cortés, H., Maes, M. E., Nagy, B., Reilly-Andújar, F., Colombo, G., Cubero, R. J. A., Schoot Uiterkamp, F. E., Bear, M. F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109313 · Cited by 140
Research Progress in the Pathogenesis of Alzheimer's Disease
Chen, Y. (2018) · Chinese Medical Journal · doi:10.4103/0366-6999.235112 · Cited by 141
Current and emerging avenues for Alzheimer's disease drug targets
Loera‐Valencia, R., Cedazo-Mínguez, Á., Kenigsberg, P.-A., Page, G., Duarte, A. I., Giusti, P., Zusso, M., Robert, P. H., Frisoni, G. B., Cattaneo, A., et al. (2019) · Journal of Internal Medicine · doi:10.1111/joim.12959 · Cited by 142
Non-invasive photobiomodulation treatment in an Alzheimer Disease-like transgenic rat model
Yang, L., Wu, C., Parker, E., Li, Y., Dong, Y., Tucker, L. D., Brann, D. W., Lin, H. W., & Zhang, Q. (2022) · Theranostics · doi:10.7150/thno.70756 · Cited by 141
Electrical stimulation of cranial nerves in cognition and disease
Adair, D., Truong, D. Q., Esmaeilpour, Z., Gebodh, N., Borges, H., Ho, L., Bremner, J. D., Badran, B. W., Napadow, V., Clark, V. P., et al. (2020) · Brain stimulation · doi:10.1016/j.brs.2020.02.019 · Cited by 137
Photobiomodulation for Alzheimer’s Disease: Has the Light Dawned?
Hamblin, M. R. (2019) · Photonics · doi:10.3390/photonics6030077 · Cited by 136
Tao, L., Liu, Q., Zhang, F., Fu, Y., Zhu, X. D., Weng, X., Han, H., Huang, Y., Suo, Y., Chen, L., et al. (2021) · Light Science & Applications · doi:10.1038/s41377-021-00617-3 · Cited by 133
Neurotransmitters in Prevention and Treatment of Alzheimer’s Disease
Yang, Z., Zou, Y., & Wang, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043841 · Cited by 138
Cognitive Decline in Preclinical Alzheimer’s Disease: Amyloid-Beta versus Tauopathy
Huber, C. M., Yee, C., May, T., Dhanala, A., & Mitchell, C. S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170490 · Cited by 136
Tauopathy: A common mechanism for neurodegeneration and brain aging
Saha, P., & Sen, N. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.01.007 · Cited by 134
Noninvasive 40-hz light flicker to recruit microglia and reduce amyloid beta load
Singer, A. C., Martorell, A. J., Douglas, J. M., Abdurrob, F., Attokaren, M. K., Tipton, J., Mathys, H., Adaikkan, C., & Tsai, L.-H. (2018) · Nature Protocols · doi:10.1038/s41596-018-0021-x · Cited by 127
Self-citationMably, A. J., Gereke, B. J., Jones, D. T., & Colgin, L. L. (2016) · Hippocampus · doi:10.1002/hipo.22697 · Cited by 127
Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons
Xiao, D., Vanni, M. P., Mitelut, C., Chan, A. W., LeDue, J. M., Xie, Y., Chen, A. C. N., Swindale, N. V., & Murphy, T. H. (2017) · eLife · doi:10.7554/elife.19976 · Cited by 134
Parvalbumin interneuron in the ventral hippocampus functions as a discriminator in social memory
Deng, X., Gu, L., Sui, N., Guo, J., & Liang, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1819133116 · Cited by 130
Modulating Gamma Oscillations Promotes Brain Connectivity to Improve Cognitive Impairment
Liu, C., Han, T., Xu, Z., Liu, J., Zhang, M., Du, J., Zhou, Q., Duan, Y., Li, Y., Wang, J., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab371 · Cited by 129
Petrache, A. L., Rajulawalla, A., Shi, A., Wetzel, A., Saito, T., Saido, T. C., Harvey, K., & Ali, A. B. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz016 · Cited by 124
Xu, Y., Jiang, C., Wu, J., Liu, P., Deng, X., Zhang, Y., Peng, B., & Zhu, Y. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13779 · Cited by 127
A feasibility trial of gamma sensory flicker for patients with prodromal Alzheimer's disease
He, Q., Colon‐Motas, K. M., Pybus, A. F., Piendel, L. A., Seppa, J. K., Walker, M. L., Manzanares, C. M., Qiu, D., Miocinovic, S., Wood, L. B., et al. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12178 · Cited by 120
Self-citationJin, W., Shen, L., Bu, X., Zhang, W., Chen, S., Huang, Z., Xiong, J., Gao, C., Dong, Z., He, Y., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1721-y · Cited by 121
Slow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease
Lee, Y. F., Gerashchenko, D., Timofeev, I., Bacskai, B. J., & Kastanenka, K. V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00705 · Cited by 125
Metformin reverses early cortical network dysfunction and behavior changes in Huntington’s disease
Arnoux, I., Willam, M., Griesche, N., Krummeich, J., Watari, H., Offermann, N., Weber, S. S., Dey, P. N., Chen, C., Monteiro, O., et al. (2018) · eLife · doi:10.7554/elife.38744 · Cited by 117
Excitatory-inhibitory imbalance in Alzheimer's disease and therapeutic significance
Varela, E. V., Etter, G., & Williams, S. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.04.010 · Cited by 122
Salehpour, F., Gholipour-Khalili, S., Farajdokht, F., Kamari, F., Walski, T., Hamblin, M. R., DiDuro, J. O., & Cassano, P. (2019) · Reviews in the Neurosciences · doi:10.1515/revneuro-2019-0063 · Cited by 116
Optogenetic stimulation of dentate gyrus engrams restores memory in Alzheimer's disease mice
Perusini, J. N., Cajigas, S. A., Cohensedgh, O., Lim, S. C., Pavlova, I. P., Donaldson, Z. R., & Denny, C. A. (2017) · Hippocampus · doi:10.1002/hipo.22756 · Cited by 122
Metadata
- Authors
- Iaccarino, H. F., Singer, A. C., Martorell, A. J., Rudenko, A., Gao, F., Gillingham, T. Z., Mathys, H., Seo, J., Kritskiy, O., Abdurrob, F., Adaikkan, C., Canter, R. G., Rueda, R., Brown, E. N., Boyden, E. S., & Tsai, L.-H.
- Affiliations
- McGovern Institute for Brain Research (US)
- Massachusetts Institute of Technology (US)
- Massachusetts General Hospital (US)
- Broad Institute (US)
- Corresponding author
- Tsai, Li-Huei
- ORCID
- Venue
- Nature
- Published
- 2016-12-07
- Volume
- 540
- Issue
- 7632
- Pages
- 230-235
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5656389
- OpenAlex
- W2560234750
- Cited by
- 1,328
- References
- 41
- Citations by year
- 2026: 169 · 2025: 191 · 2024: 172 · 2023: 160 · 2022: 147 · 2021: 150 · 2020: 131 · 2019: 85 · 2018: 76 · 2017: 42 · 2016: 2
- FWCI
- 54.95
- Type
- journal article
- Language
- en
- Update notices
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- PMC
- Funders
- National Institute on Aging (RF1AG047661)
- National Eye Institute (R01EY023173)
- National Institute of General Medical Sciences (R01GM104948)
- National Institute of Neurological Disorders and Stroke (DP1NS087724)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- gamma oscillations, Alzheimer's disease, amyloid-beta, microglia, parvalbumin interneurons, optogenetics, amyloid plaques, 5xFAD mice, APP/PS1 mice, visual cortex, neurodegeneration
- MeSH terms
- Alzheimer Disease, Amyloid, Animals, Disease Models, Animal, Female, Interneurons, Light, Male, Parvalbumins, Peptide Fragments, Visual Cortex, Amyloid beta-Peptides, Microglia, Cell Shape, Mice, CA1 Region, Hippocampal, Plaque, Amyloid, Transcriptome, Optogenetics, Gamma Rhythm
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
